Lead Data & AI Platform Engineer (Remote, United Kingdom)

Live Nation Entertainment
United Kingdom
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Communication","Stakeholder management","Problem-solving","Ownership","Technical leadership"]

Design and scale data, analytics, and AI platforms that power customer operations intelligence for Ticketmaster’s Contact Center Technology team. Lead Databricks-based enterprise pipelines and operational intelligence solutions that unify customer, workforce, and AI datasets. Develop machine learning and conversational AI capabilities (including NLP and generative AI), deliver executive reporting, and establish governance, data quality, CI/CD, and AI lifecycle best practices while coaching engineers and data scientists across teams.

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Live Nation Entertainment
Live Nation Entertainment
1 day ago

Lead Data & AI Platform Engineer (Remote, United Kingdom)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design and scale data, analytics, and AI platforms that power customer operations intelligence for Ticketmaster’s Contact Center Technology team. Lead Databricks-based enterprise pipelines and operational intelligence solutions that unify customer, workforce, and AI datasets. Develop machine learning and conversational AI capabilities (including NLP and generative AI), deliver executive reporting, and establish governance, data quality, CI/CD, and AI lifecycle best practices while coaching engineers and data scientists across teams.
Location: United Kingdom
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Lead the design and evolution of scalable data, analytics, and AI platforms supporting customer operations and automation across global markets.
  • •Architect and optimize Databricks-based data pipelines and enterprise data platforms that unify multiple datasets into trusted intelligence.
  • •Drive development of machine learning, NLP, generative AI, and operational intelligence capabilities to improve customer experience and automation performance.
  • •Deliver actionable insights and executive-level reporting to support strategic decision-making and operational improvement.
  • •Establish engineering standards, governance frameworks, and best practices for data quality, platform reliability, CI/CD, and AI lifecycle management; provide day-to-day technical leadership and guidance.

Key Requirements

  • •Lead the design and evolution of scalable data, analytics, and AI platforms for customer operations intelligence across global markets.
  • •Architect Databricks-based data pipelines and enterprise data platforms that unify customer, operational, workforce, and AI datasets into trusted intelligence solutions.
  • •Develop machine learning and operational intelligence capabilities, including NLP and generative AI, to improve customer experience and operational efficiency.
  • •Have strong experience with Databricks, Spark, cloud data platforms, and enterprise-scale data pipelines.
  • •Demonstrate technical leadership and the ability to establish engineering standards for data quality, platform reliability, CI/CD, and AI lifecycle management.
Experience:Customer supportContact center operationsEnterprise-scale dataMachine learningNLPGenerative AIConversational AIData platforms
Skills:CommunicationStakeholder managementProblem-solvingOwnershipTechnical leadership
Tech Stack:DatabricksSparkPythonNLPGenerative AILLM orchestrationCI/CDDevOpsKubernetesDockerGitLab CI/CDBI toolsVersion control

Company Brief

Live Nation Entertainment
Operates a global live entertainment platform that promotes concerts, manages ticketing, and runs venues and festivals. Connects artists, fans, and brands through large-scale events, sponsorships, and digital ticketing services.
Industry: Events & Live Entertainment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Beverly Hills, United States
Founded: 2010
Glassdoor
Glassdoor: 3.7
WebsiteLinkedInGlassdoor